Tag: neural networks

Application of demand forecasting models in inventory management

Author:

Bibliographic description of the article for the citation:

. Application of demand forecasting models in inventory management//Science online: International Scientific e-zine - 2025. - №3. - https://nauka-online.com/en/publications/economy/2025/3/08-20/

Annotation: The study focuses on improving inventory management efficiency through accurate demand forecasting. It provides an overview of key statistical methods (ARIMA, exponential smoothing) and modern machine learning techniques (decision trees, neural networks), along with their hybrid versions. The impact of forecast accuracy on critical logistics aspects—inventory levels, safety stock, turnover rates, and shortage risks—is examined. Successful implementation practices in leading companies are analyzed, highlighting the economic benefits achieved. The author's contribution includes recommendations on selecting and adapting models to the specifics of logistics processes, as well as proposals for integrating demand forecasting with other elements of supply chain management.

Use of convolved neural networks in text recognition

Author:

Bibliographic description of the article for the citation:

. Use of convolved neural networks in text recognition//Science online: International Scientific e-zine - 2021. - №11. - https://nauka-online.com/en/publications/information-technology/2021/11/20-5/

Annotation: The article investigates the use of convolutional neural networks in the recognition of images, text, sounds, etc. Mathematical models used in the construction of a neural network are given and examples of the use of such models in real life are given. In conclusion, an analysis of the possibilities of using neural networks in the creation of software applications.

Cryptocurrency forecast based on fundamental analysis

Author:

Bibliographic description of the article for the citation:

. Cryptocurrency forecast based on fundamental analysis//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/technical-sciences/2018/5/prognozirovanie-kursa-kriptovalyut-na-osnove-fundamentalnogo-analiza/

Annotation: A scheme has been imposed, which allows forecasting cryptocurrency rate with accuracy of 20-50% and predicting trend with accuracy up to 00%. It is focused on fundamental analysis, based on the activity of Twitter users.

Prepare

a scientific article on the current topic

Send

a scientific article to e-mail: editor@inter-nauka.com

Read

your article on the website of our magazine